Data and Model Ops Engineer

Company Description

Visa stands as a pinnacle of innovation in the global payments industry, orchestrating over 259 billion transactions annually across more than 200 countries. Our core mission is to enhance global connectivity through a reliable and secure payment network that empowers both individuals and businesses. Our unwavering commitment is to uplift everyone, everywhere by offering the best payment solutions. Experience what it’s like to work at Visa and join us in making a formidable impact in the payments world.

Job Description

We are excited to offer the position of Data and Model Ops Engineer at our bustling Bangalore office. This role is perfect for those adept in constructing big data solutions and managing machine learning (ML) models in production environments. As a Visa engineer, you will handle the full lifecycle of ML applications—from development, deployment, to ongoing maintenance—within our dynamic global engineering team.

Your contributions will be vital in strategic planning, business analysis, and providing technical guidance on data engineering and architecture solutions. You will oversee our global data engineering assets, foster relationships with consulting partners, and spearhead both data engineering and data science teams.

Essential Functions

• Requirement Analysis: Translate complex business needs into sustainable data models.
• Data Modeling: Collaborate with business teams to strategize and execute data solutions.
• Data Pipeline Design: Develop scalable data pipeline architectures for various domains.
• Data Integration: Manage data lakes and improve data acquisition and scalability.
• Testing: Oversee data loading procedures to ensure quality control.
• Deployment: Work alongside IT teams to deploy robust data management systems.
• ML Ops Pipelines: Construct and maintain systems to manage ML lifecycle.
• Developing ML Models: Spearhead the creation and updating of ML models.
• Collaboration: Liaise with data scientists and ML engineers to enhance ML processes.

Hybrid Work Model

This is a hybrid role requiring you to balance your time between remote work and our Bangalore office. This position requires 2-3 days in the office weekly, guided by our leadership team's strategies and business needs.

Qualifications

• Advanced proficiency in Big Data tools (Hadoop, Hive, Spark) and languages (Scala, Python, SQL, PySpark).
• Proven capability in Unix/Linux environments with scripting skills in Bash.
• Knowledgeable in data pipeline and workflow management, such as Airflow.
• Machine Learning and Deep Learning expertise.
• Experience with CI/CD frameworks, data ingestion, processing, and storage in big data platforms.
• Understanding of data warehousing, ETL techniques, and cloud services (AWS, Azure).
• Ability to work with structured and unstructured data sets.
• Strong analytical and quantitative skills with a background in Statistics, Mathematics, Computer Science, or related fields.
• At least 5 years of relevant experience (with a Bachelor’s degree) or 3+ years (with an Advanced degree).

Visa: An Equal Opportunity Employer

Visa proudly supports diversity and inclusion, ensuring every qualified applicant receives equal consideration without regard to race, color, religion, sex, national origin, or other protected categories. We also provide opportunities for those with diverse criminal histories, in alignment with EEOC guidelines and local laws.

Ready to make a significant impact in Data Engineering and Model Operations with a leading industry innovator? Apply today!